Despite the “Graph” in the name, GraphQL is mostly used to query relational databases or object models. But it is really well suited to querying graph databases too.
In this on-demand webinar, Will demonstrates how he implemented a GraphQL endpoint for the Neo4j graph database and how you would use it in your application.
William Lyon is an engineer on the Developer Relations team at Neo4j, the open source graph database, where he builds tools for integrating Neo4j with other technologies and helps users be successful with graphs. He also leads Neo4j's Data Journalism Accelerator Program.
Prior to Neo4j, he worked as a software engineer for a variety of startups, building mobile apps for the real estate industry, trading tools for quantitative finance, and predictive APIs. William holds a masters degree in Computer Science from the University of Montana. You can find him online at lyonwj.com or @lyonwj on Twitter.
Tim has been spending the last 5 years of his career focussing on building large scale applications for the enterprise. With focus on scaling, performance, machine learning and databases, he brings with him over 10+ years of software experience. Being a Neo4j developer for the last 5-6 years of his career, he has a main focus on using database technologies like the graph to solve very complex and large scale problems. Originally from Australia, he now lives in Denmark with his wife and dog (that looks like Chewbacca).
Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.